Abstract:

The micro-simulation of pedestrians has become a major tool of facility layout assessment and evacuationevaluation for the places with dense pedestrian flow such as a subway station.The social force model,which is formulatedfrom the aspect of force exerted on pedestrians,helps to obtain both the motion and the force states of pedestrians,and demonstrates various self-organization phenomena without setting complex walking rules.In order toovercome the high complexity of algorithm and the blindfold moving of pedestrian particles in the social force model,this paper introduces the Gear's predictor-corrector method and the linked-list cell algorithm in molecular dynamics,and presents an improved model and the corresponding object-oriented programming implementation frameworkbased on the perceiving and decision-making method of Agent.Then,with the help of the ellipse element modelingthe pedestrian body,the parameters including the pedestrian body,the movement and the model itself are calibrated,and the Agent-pedestrian interaction method as well as the corresponding algorithm,which takes into considerationthe density scanning /turning,the varied interaction strength and the collision prediction /avoidance,designed.Finally,the modified model is programmed with VC++ 2008 and the one-direction and bi-direction pedestrian simulationsof subway passageway are performed.The results indicate that the linked-list cell algorithm greatly saves thesimulation time and that the modified model helps to achieve prominent lane formation and reveal the pedestriandensity-flow relationship which agrees well with that derived from field study.

Key words: subway passageway, pedestrian simulation, social force model, Agent, Gear's predictor-corrector method, linked-list cell algorithm